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Disruptions often call for rapid innovation at scale. Open innovation (OI) is critical in such contexts because it allows organizations to access resources beyond the firm's boundaries. Yet, many OI projects fail, posing significant risks during disruptions. This article examines 12 ventilator development projects during the COVID-19 pandemic, of which only seven succeeded. Fifty-five interviews were analyzed to understand how organizational roles influence the outcomes of OI projects in times of disruption. The key finding is that projects that succeeded involved an organizational role largely absent in those that failed: namely, a catalyst. [ABSTRACT FROM AUTHOR]

Service-oriented manufacturing has been a prevalent trend in integrating product collaborative development with maintenance service, whereas the final products are frequently trapped into severe quality defects lacking appropriate contracting incentives. This paper establishes a tractable framework investigating the alignment of inspection and warranty strategies to manage product quality throughout the R&D, manufacturing and usage processes. Specifically, the manufacturing effort is motivated by a cost-sharing contract provided by the researcher, who performs quality inspection upon receiving the final product. Subsequent maintenance service is predesignated for warranty period coverage that the cost is partially claimed for compensation from the manufacturer. Under both breakdown and preventive maintenance strategies, we elaborate and compare the optimal incentive intensities solving the equilibrium effort decisions and inspection accuracy. The results suggest that both R&D and manufacturing effort levels under preventive maintenance are slightly higher than that under breakdown maintenance scenario, while inspection accuracy contradicts conversely. The breakdown maintenance strategy is associated with a lower proportion of warranty costs borne by the manufacturer. For a sufficient long warranty period, the researcher is better off to conduct preventive maintenance periodically. Our study contributes to providing explicit implications to manage product development quality with adequate inspection and warranty strategies. [ABSTRACT FROM AUTHOR]

We examine how short product life cycle lengths constrain real activities management among a group of manufacturing firms. Companies with short-cycle products face fast product obsolescence and constant pressure to develop and market new products. Fast product obsolescence increases the cost of overproduction, while constant pressure for new product development increases the cost of opportunistic spending cuts. We predict and find evidence that in general, short-cycle firms do not beat earnings thresholds through overproduction and discretionary spending cuts as extensively as long-cycle firms do. However, since the Sarbanes-Oxley Act came into effect, short-cycle firms have increasingly overproduced, and there is no longer a difference in overproduction between short- and long-cycle firms. Moreover, the presence of major customers attenuates the relationship between product life cycle lengths and real activities management, while a large market share and high fixed-assets intensity both accentuate the relationship. Finally, short-cycle firms are also less likely to use LIFO (last-in, first out) liquidation to inflate earnings than long-cycle firms. [ABSTRACT FROM AUTHOR]

To deal with the growing amount of e-waste propelled by introduction of new products, increasing governments are considering amending take-back regulations to impose more stringent collection targets. Motivated by this trend, this study focuses on the reuse policy for e-waste with three factors: product innovation degrees, collection targets, and reuse decisions. We first confirm the traditional wisdom that a higher innovation degree often results in a higher profitability but hurts the environment. As such, we agree with the suggestion that the environmental agencies need to impose more stringent collection targets to deal with the growing amount of e-waste propelled by new product introduction. Moreover, our analysis further indicates that the more stringent collection target results in an inverted U-shaped curve for profitability and lower environmental impact. Therefore, besides confirming the intuitive expectation, we also add a word of caution on the recast of WEEE Direct: although tightening the overall collection target for the OEM is a powerful tool, we still call for the governments and environmental agencies, rather proceeding from the entire industry, should amend take-back regulations to set detailed collection targets based on the specific products characterised by the rate of innovation. [ABSTRACT FROM AUTHOR]

Retaining talented salespeople is crucial for a company's survival. One effective strategy for retaining employees is to actively involve them in significant business decisions. Salespeople, however, differ significantly from their colleagues, for example, they are typically highly customer-oriented. Therefore, integrating them into new product development (NPD) may be a potentially valuable approach for firms to retain them. Nonetheless, salesforce integration (SI) into NPD is more intricate than initially thought. It may involve both psychological SI benefits (such as feeling valued or competent) and costs (including potential conflicts with NPD team members or role conflicts), thus differently affecting a salesperson's willingness to stay with the firm. To learn more about the intriguing link between SI into NPD and salesperson retention, we conducted a qualitative study and applied grounded theory to conceptualize this relationship. We identify key mediators (psychological SI benefits and costs) and moderators (such as company, NPD team, salesperson, procedural, relationship, or product characteristics) that can influence the SI-into-NPD-salesperson-retention connection and develop related, relevant propositions. All of these insights are integrated into a cohesive framework and we present a research agenda to guide future exploration of this critical subject. Furthermore, we derive and discuss implications for both academics and practitioners. [ABSTRACT FROM AUTHOR]

We study how patenting enhances customer capital and creates financial value in a product market characterized by information asymmetry between firm insiders and customers. We find that firms with more and higher quality patents develop greater customer capital, as measured by more positive customer perceptions of product novelty and quality. To establish causality, we exploit the exogenous variation in the random assignment of patent examiners to review applications and use the average examiner leniency as an instrument for patent grants. Our mediation analysis documents a positive impact of patenting on firm performance and financial market valuation through enhanced customer capital. [ABSTRACT FROM AUTHOR]

The increasing complexity of industrial systems demands more effective and intelligent maintenance approaches to address manufacturing defects arising from faults in multiple asset modules. Traditional digital twin (DT) systems, however, face limitations in interoperability, knowledge sharing, and causal inference. As such, cognitive digital twins (CDTs) can add value by managing a collaborative web of interconnected systems, facilitating advanced cross-domain analysis and dynamic context considerations. This paper introduces a CDT system that leverages industrial knowledge graphs (iKGs) to support maintenance planning and operations. By employing a design structure matrix (DSM) to model dependencies and relationships, a semantic translation approach maps the knowledge into a graph-based representation for reasoning and analysis. An automatic solution generation mechanism, utilising graph sequencing with Louvain and PageRank algorithms, derives feasible solutions, which can be validated via simulation to minimise production disruption impacts. The CDT system can also identify potential disruptions in new product designs, thus enabling preventive actions to be taken. A case study featuring a print production manufacturing line illustrates the CDT system's capabilities in causal inference and solution explainability. The study concludes with a discussion of limitations and future directions, providing valuable guidelines for manufacturers aiming to enhance reactive and predictive maintenance strategies. [ABSTRACT FROM AUTHOR]

Creative ads are applied widely in new product marketing. The present research explores the impact of creative ads (divergent vs. relevant ads) on purchase intention for really new products and incrementally new products. A series of studies concludes that (1) divergent ads are more effective for promoting incrementally new products, (2) relevant ads are more effective for promoting really new products, (3) self-referencing mediates the joint effect of creative ads and product newness on purchase intention, and (4) there is an inverted U-shaped relationship between self-referencing and purchase intention for new products. Theoretically, the authors argue that a moderate amount of self-referencing is particularly desirable—that is, there is a "Goldilocks region" that produces an optimal level of persuasion. They provide guidance to creative ad managers to help them reach the "Goldilocks region" when advertising new products. [ABSTRACT FROM AUTHOR]

We build a novel comprehensive data set of new product trademarks as an output measure of product development innovation. We show that risk-taking incentives in CEO compensation motivate this type of innovation and that this innovation improves firm performance. Using an exogenous shock to executive compensation, we find that reductions in stock option compensation cause reductions in new product development. We also find that firms undertaking new product development experience increases in future cash flow from operations and return on assets. These findings suggest the importance of product development innovation to firms and new trademarks as a novel innovation measure. [ABSTRACT FROM AUTHOR]

In this research, the authors examine how consumers perceive the fruits of university–industry collaborations (i.e., new products codeveloped with universities). Eight studies document a positive university effect and highlight its practical significance and boundary conditions. An Instagram A/B test utilizing a video that refers (vs. does not refer) to the underlying university–industry collaboration results in higher click-through rates and ad engagement levels. Another field study demonstrates that university-codeveloped products are more attractive to consumers, even after an actual product trial. Further, several consequential studies reveal that consumers are willing to pay up to 65% more for products marketed as codeveloped with a university. The authors argue and show that collaborating with a university infuses the underlying firm with a stronger sense of scientific legitimacy, thereby making the resulting product more attractive to consumers. Congruously, the authors find that the effect is more pronounced when the scientific legitimacy engendered by universities is more important to the focal product (i.e., high tech vs. low tech), underlying company (i.e., new vs. established), or target customer (i.e., high vs. low belief in science). [ABSTRACT FROM AUTHOR]

Two organizations that focus on tech-based health innovation have partnered to improve the mental health of young adults. In this "tech for good" project, Hopelab and Grit Digital Health worked together to create an app using human-centered product design. With the core needs of users at the forefront, the team developed an app both with and for college students to combat loneliness, a prevalent issue that can lead to other problems such as depression, anxiety, and even dropping out of college. The team also applied systems thinking to address the root causes of this "wicked problem," resulting in their Nod app, which has improved outcomes for college students. This article is based on the author's award-winning case study. [ABSTRACT FROM AUTHOR]

How does the viability of a product category shift over time? Studies abound on how categories emerge and become established, or fall out of use. Yet, extant research has often examined the evolution of categories one at a time, leaving open the question of how related categories affect a focal category's viability. In contrast, we consider both intra- and inter-category dynamics. Viewing categories as continuously shaped by actors' efforts to position their products, we argue that these efforts alter the coherence that products exhibit not only within a category (a category's heterogeneity), but also across related categories (a category's distinctiveness). We theorize how the interaction between a category's heterogeneity and distinctiveness shapes its subsequent viability. When a focal category's distinctiveness is low, the heterogeneity–viability relationship takes an inverted U-shape. However, as distinctiveness grows, the relationship flattens and eventually flips to a U-shape. We explain this by considering the trade-off between the "classification" and "valuation" benefits that a category affords. We find support for our argument by tracking 170 categories over an 11-year period on Kickstarter, one of the largest crowdfunding platforms. By providing a nuanced understanding of category dynamics, we shed new light onto the fluctuating viability of categories. [ABSTRACT FROM AUTHOR]

Research on the tension between exploration and exploitation has made fundamental contributions to our understanding of firm growth via entry into new businesses. While there is consensus about the merits of balancing exploration and exploitation, there has been debate about the best means for achieving balance. In our prior analysis of firms' choices between acquisition and internal development as entry modes, we found that the role of acquisitions tends to differ inside versus outside a firm's primary business domain: firms use within-domain acquisitions largely for exploitation, while out-of-domain acquisitions support exploration. To examine these issues in greater depth, we focus here on the historical use of acquisition versus internal development by two major technology firms, Amazon and Alphabet. We show that the two firms have been remarkably different in their use of acquisitions versus internal development. Consistent with our prior analysis, Amazon has emphasized internal development but has used acquisitions to strengthen its existing businesses and to enter new products and services that were (initially) outside Amazon's primary business domain. In contrast, Alphabet has relied heavily on acquisitions to enter new businesses within its primary domain but has emphasized internal development of "moonshot" businesses outside this domain. These differences illuminate the use of acquisitions in market entry and make clear that there is no single right way to utilize acquisition versus internal development in the pursuit of balance between exploration and exploitation. [ABSTRACT FROM AUTHOR]

Does proprietary knowledge protection (PKP) spur or hinder the product-market performance of new firms? Exploiting the staggered adoptions of the inevitable disclosure doctrine by U.S. State Courts, which enhance PKP, we show that treated firms increase industry-adjusted sales growth by 2% compared to control firms. The effect is concentrated among small and young firms and increases with the scope of proprietary knowledge and rivals' access to external finance. PKP encourages firms to develop new products and stimulates initial public offering activity. Our results suggest that PKP alleviates predation risk associated with "deep-pocket" rivals by allowing firms to maintain competitive advantages. [ABSTRACT FROM AUTHOR]

The key to radical innovation lies in technological breakthroughs, and the key to technical breakthroughs lies in the application of cross-domain knowledge. However, in the conceptual design stage of new product development, the designer's cognition and knowledge are limited and the retrieval and evaluation of cross-domain technologies is often subjective, making it difficult to generate radical concepts. To address the above issues, this paper proposes a method for cross-domain technology recommendation based on patent analysis. In this method, feature words in various domains of patents are used to generalise the abstract functions of product core subsystems, where designers can obtain more comprehensive cross-domain technologies. This is conducive to breaking the design fixation of designers. Subject–Action–Object structural and functional similarity are combined to quickly extract cross-domain technologies in patents. Then multiple technical indicators are used to objectively evaluate and rank cross-domain technologies. This approach helps designers objectively select cross-domain technologies to change the way next-generation products work, enabling early planning of production conditions and a head start in the market. The method has been verified in a new product development project on peeling equipment, a new product that meets radical indicators is finally obtained. [ABSTRACT FROM AUTHOR]

After decades, dialogues on human resource management (HRM), intellectual capital (IC), and ambidexterity still continue, mirroring that the role of ambidextrous capability in translating the impact of HRM into superior performance remains unclarified. At this juncture, the current study proposes a novel theoretical framework to extend research on the relationship between IC‐enhancing HR practices and innovation. It is done sophisticatedly by examining how firm exploitative and exploratory capabilities mediate the relationship between different combinations of HR configurations and firm innovation. To this end, we designed rigorous time‐lagged research with three waves of data collection from the Iranian healthcare sector. Our analyses revealed that firm explorative and exploitative capabilities significantly mediate the relationship between human, social, and organizational capital‐enhancing HR configurations and firm innovation. More conspicuously, by unraveling interaction patterns among distinct HR configurations, our study revealed the intricacies of the functioning of IC‐enhancing HR practices in fueling firm ambidexterity. Hence, our study offers design options to navigate through exploitation and exploration in light of the firm's core innovation strategy. We discuss the theoretical and practical implications of our findings and suggest future research avenues. [ABSTRACT FROM AUTHOR]

Despite the growing diversity of customer needs, little empirical evidence would guide managers to leverage customer need diversity (CND) for radical innovation. Building on the knowledge-based view and dynamic capabilities, the authors explore relationships among CND, strategic flexibility, big data analytics capabilities, and radical innovation performance. With 308 survey responses from innovation managers, the authors find that CND impacts radical innovation performance via (1) mediation through strategic flexibility and (2) moderation by volume, variety, and velocity capabilities associated with big data analytics. The moderation effects of volume and velocity capabilities are positive and negative simultaneously, depending on the purpose for which CND is utilised. Therefore, to leverage customer need diversity, firms need to build strategic flexibility and exercise caution when utilising big data analytics capabilities. [ABSTRACT FROM AUTHOR]

Knowledge sharing is considered an important promotor of new product development (NPD) performance. However, studies have shown that making experts share knowledge in new product development (NPD) projects is often a challenging task. Consequently, this topic has attracted substantial attention in academic research. However, although studies have produced valuable insights, more detailed accounts of the mechanisms shaping knowledge sharing processes in NPD projects are sparse. To add to the knowledge on this topic, this study conducts a series of interviews with NPD professionals at manufacturers of high-tech industrial products to identify 'factors influencing knowledge sharing' (FIKS). The identified FIKS are explained through the socio-physiological theory, the 'reasoned action approach' (RAA). This involves several contributions. First, the study provides a detailed explanation of the role of FIKS by describing how they affect the behaviour of knowledge providers and receivers in NPD processes. Second, by identifying 161 FIKS in NPD processes, organised under 18 categories, the study offers the so far most extensive account of FIKS in NPD processes. Third, the findings suggest a special characteristic of knowledge sharing in NPD contexts concerning the relatively high importance of knowledge receiver behaviour. [ABSTRACT FROM AUTHOR]

Product configuration design combines the existing configurable components of enterprises to quickly form a new product that meets customised requirements. However, the representation, maintenance, and update of the configuration knowledge, and the mismatch problem restrict the rationality and efficiency of existing configuration design methods. In this paper, a recommendation model is developed for customised product configuration design, which takes personalised customer requirements and product component information as input and outputs a ranked list of component instances. It consists of two sub-models: a retrieval sub-model and a ranking sub-model. The retrieval sub-model selects a set of component instance candidates from all possible candidates, and then the ranking sub-model ranks them and selects the best possible candidate. To boost the ranking sub-model performance, we propose a novel interacting network, DualAdap, to extract meaningful low-order, high-order, and adaptive-order cross features. Based on learned cross features, the ranking sub-model computes the adoption scores of all candidates and then selects the best possible candidate according to adoption scores. The configuration design of the elevator traction machine is taken as a case study. Results verify that our recommendation model can identify similar component instances and then accurately pick out the best possible candidate that meets customer requirements. [ABSTRACT FROM AUTHOR]

Platform-based product development is a cost-efficient approach to satisfy wide range of customer preferences. One important problem is the product platform configuration, in which two types of platform configuration are widely used, either module selection or module integration. The platform configuration based on module selection provides a broader solution space of platform selection, while module integration facilitates product platform commonality to gain economic benefits. Up to date, most research focused on the platform configuration based on module selection with a given module set. In this paper, we propose a new model to determine the optimal platform configuration for an external product family, considering both module selection and integration. The demand for the external product family is uncertain and assumed to follow normal distribution. A hybrid methodology combining simulated annealing and variable neighbourhood search is proposed. A numerical examination is carried out for the purpose of evaluation. The results show that the proposed model can provide a practically good solution. Main contributions of this research are two folds, one is the balance point between module selection and module integration in the platform configuration and the other is that we take into account the operation cost of module acquisition to the platform configuration problem. [ABSTRACT FROM AUTHOR]

Data has become a high-value commodity in manufacturing. There is a growing realisation that the data-driven applications could become strong differentiators of manufacturing enterprises. To guide the developments in digitisation, a widely accepted framework is needed. In the absence of the universal framework, the components making a digital enterprise are captured in an example framework that is introduced in the paper. The adoption of new technology and software solutions has increased complexity of manufacturing systems. In addition, new product introductions have become more frequent and the demand more variable. A digital space enables optimisation and simulation of decisions before their realisation in the physical space. Predictive modelling with its time dimension is a valuable actor in the digital space. Three challenges of predictive modelling such as model complexity, model interpretability, and model reuse are identified in this paper. The coverage of each challenge in the literature is illustrated with the recently published papers. The main aspects of these challenges and the synthesis of the developments in digital manufacturing are articulated in the form of eight observations that could guide the future research. [ABSTRACT FROM AUTHOR]

Conceptual design is a pivotal stage of new product development. The function-behaviour-structure framework is adopted in this stage to help designers search design space and generate conceptual solutions iteratively. Computer-aided methods developed within this framework will yield significant insight into facilitating the cognitive activities of designers. In order to solve the mapping process from behaviours to structures which is a typical constraint satisfaction problem, a cerebellar operant conditioning-inspired constraint satisfaction approach is proposed in this paper. The design constraints-driven operant conditioning and its regulation mechanism by the cerebellum are analysed for the first time. Proposition logic is applied to transfer the constraint satisfaction problem into a propositional satisfiability problem while an undirected graph is utilised to model design space. Inspired by the modularised cerebellar structure, a modularised constraint satisfaction neural network is constructed to determine the satisfiability of design problems. Conceptual solutions can be generated by clustering the embedding of nodes in this network. The proposed approach imitates the design constraint-driven operant conditioning to narrow down design space without assigning specific values to design components. It reduces design iterations and avoids combinatorial explosions during conceptual design. [ABSTRACT FROM AUTHOR]

Commercializing technological innovations is a strategic goal in entrepreneurial ventures and established firms. A fundamental decision that remains understudied in this context is the form in which the innovation is to be commercialized. The authors term this decision the firm's "product-form strategy" for the innovation. In Study 1, they employ a theories-in-use approach and, using in-depth interviews and field observations with technology entrepreneurs and angel investors, develop a theory of product-form strategy—to market the innovation as know-how, a component, or a system—and identify the primary drivers of this choice. The theory is tested using a multimethod, multicontext approach. In Study 2, the authors use proprietary investment proposals generated by entrepreneurial ventures when they seek support from angel investors. In Study 3, they test the theory using video transcriptions of technology proposals from the television show Shark Tank. In Study 4, the authors assess the internal validity of the theory with active angel investors as subjects. They find consistent support for their theory and conclude with implications for theory and managerial practice. [ABSTRACT FROM AUTHOR]

The concept of sustainable development is driving shell biorefineries to develop a cost-effective and environmentally benign approach to transform chitin into high-value products. This study describes a green, simple, and flexible shell biorefinery process for producing two kinds of nanochitins (NCh), chitin solid residues (ChSRs) and chitin nanocrystals (ChNCs), by using p-toluenesulfonic acid-assisted hydrothermal treatment. The ChSR is a bundled nanocrystal with a long length ranging from 100 nm to 450 nm and a width ranging from 10 nm to 30 nm. It has an excellent interfacial behavior between the water and oil phases due to its amphiphilic nature; thus, a foodstuff-related emulsion has been successfully fabricated from soybean oil and a ChSR suspension without the addition of any synthetic surfactants. The further hydrolysed ChNC with a length and width range of 25–225 nm and 15–30 nm, respectively, and a high zeta potential of 41 mV exists as an individual nanocrystal. Owing to the abundance of positively charged groups distributed on its surface, ChNC enables self-assembly to a highly ordered hierarchical structure. Hence, ChNCs show promising results in fabricating large-area photonic films, e.g. for application in bright and vivid automobile painting. Altogether, we provide a novel approach to produce NCh materials from crustacean shell waste and bridge the gap from process engineering to high-value product development. [ABSTRACT FROM AUTHOR]

Plant-based protein foods are important products for sustainability, health, and ecosystem. Although vegans/vegetarians prefer these products, they have not received a widespread popularity due to significant differences in sensory properties and consumer experience compared to animal-based foods. Hence, sensory evaluation is the key in product development of these products. In this review, sensory techniques used for dairy, meat, egg, fish, and seafood analogs were analysed. Most studies involved affective and descriptive methods, and comparison of the sensory properties to see the gaps between plant-based and animal-based products. Parameters forming repetitive pattern in all studies are texture, appearance, aroma, flavor, and odor. Number of reported studies conducted on dairy and meat substitutes is higher than other categories. Egg analog sensory tests are developing especially with different applications like mayonnaise. However, there is a lack in fish and seafood substitute area. For now, the central issue in plant-based food development is to mimic flavor and textural properties. Therefore, there is a need in sensory research on these complex plant-based protein analogs with a range of different quality attributes to set the industrial standards, the research should be conducted in a variety of applications speeding up to launch alternatives for the interested consumers. [ABSTRACT FROM AUTHOR]

The core reason for the nutritional richness and special flavour composition of traditional Chinese fermented soybean products lies in the diversity of microbial structures and their metabolites, which include a variety of potential probiotics. However, relatively little mainstream research has been conducted on these microorganisms, especially in regions with unrelated product dietary habits, limiting the high-value utilisation of the characteristic microbial resources. In order to enhance the efficient use and functional exploitation of microbial resources in Chinese traditional fermented soybean products, this paper investigated and reviewed a variety of products such as soybean paste, soy sauce, douchi, sufu, and fermented soybean milk, and carried out a detailed analysis of the sources, flavour characteristics, and potential functionality of microorganisms therein, which elucidated that the microorganisms in Chinese traditional fermented soybean products have the potential to be used as functional probiotics, with a view to contributing to the probiotic resources exploitation, novel food development, and the development of new food products, as well as the development of new foods. [ABSTRACT FROM AUTHOR]

Additive manufacturing (AM) is a wide set of technologies that can be used for many different scopes. AM is now a well-integrated prototyping and development tool in most industrial endeavours, while proper end-product manufacturing has only seen very specific niche successes. Given the complexity of AM's matrix, which is full of discontinuities and non-trivial intercorrelations that play a relevant role in product design and development, it should not come as a surprise that not many end-product applications have succeeded in making use of it. This paper argues that understanding AM's complex matrix and correctly identifying suitable production niches for it are key elements of this issue, a topic for which existing literature and tools are scarce. The analysis of AM's status quo for end-product manufacturing and the review of existing approaches to integrate these technologies with product development are the basis used in this paper to propose a suitability assessment tool to fill this knowledge gap. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to examine the mechanisms of absorptive capacity (ACAP) in the specific context of digital product development teams. More precisely, it explores the process of internalizing and utilizing external knowledge from sources outside the team to promote the development of innovative ambidexterity. Design/methodology/approach: The study employs the ACAP framework and directs specific attention to the concept of knowledge assimilation, encompassing comprehension, documentation and dissemination. Seventy-five employees of one of Indonesia's largest commercial banks were surveyed about two initiatives they participated in. To this end, 12 research hypotheses are formulated, tested and analyzed using structural equation modeling. Findings: Knowledge comprehension, documentation and dissemination are found to mediate between knowledge acquisition and knowledge exploitation. At the same time, the relationship between knowledge acquisition and knowledge transformation is mediated by knowledge comprehension and dissemination, but not documentation. The authors also found that knowledge transformation positively mediates between knowledge comprehension and dissemination on the one hand and ambidexterity on the other hand. Importantly, knowledge exploitation negatively mediates between knowledge comprehension and documentation on the one hand and ambidexterity on the other hand. Originality/value: This study contributes to the existing body of knowledge by offering nuanced insights into the interplay of knowledge assimilation processes within ACAP, particularly in the context of digital product development. The identification of mediating factors and their impacts on ambidexterity provides valuable implications for both theory and practice in this domain. [ABSTRACT FROM AUTHOR]

Trends in health care delivery systems have shifted as a result of the modern uses of biomaterials in medicine. Contrary to traditional medicine, modern healthcare are now useful in solving problems that were considered impossible some years back. One of the most significant factors to the most recent advancements in implant development has been the use of calcium based materials in the creation of necessary implants in the form of soft and hard tissues. With the advent of naturally sourced materials in the manufacturing of biomaterials, lots of attention are now focused on the different sources of agro-based resources that can be used for the product developments. These agro-based materials are now been considered for sustainable and ecological purposes in several areas of applications globally in the recent times. Hence, the review was carried out with focus on the sources, relevance, processing techniques and applications of tricalcium phosphate based biomaterials in modern day healthcare delivery. This review provides a historical and prospective picture of the crucial functions that materials based on tricalcium phosphate will play in fulfilling human requirements for medication. [ABSTRACT FROM AUTHOR]

We show that the GJMS operators of a special Einstein product factor as a composition of second‐ and fourth‐order differential operators. In particular, our formula applies to the Riemannian product Hℓ×Sd−ℓ$H^{\ell } \times S^{d-\ell }$. We also show that there is an integer D=D(k,ℓ)$D = D(k,\ell)$ such that if d⩾D$d \geqslant D$, then for any special Einstein product Nℓ×Md−ℓ$N^\ell \times M^{d-\ell }$, the Green's function for the GJMS operator of order 2k$2k$ is positive. As a result, these products give new examples of closed Riemannian manifolds for which the Q2k$Q_{2k}$‐Yamabe problem is solvable. [ABSTRACT FROM AUTHOR]

Cyber‐physical Systems (CPSs) are characterized by entities in both the physical and the virtual space, thus enabling an immersion of the physical world into the cyberspace. Connectivity via the cyberspace allows CPS cooperation for new services in product service systems (PSS). In consequence, cooperating CPSs act as actors with interest in the CPS in focus. Considering the needs of human actors and cooperating CPSs is a challenging task in CPS development because of many actors, interdepending CPS functions, and multiple CPS interfaces. For systems, the known Functional Architectures for Systems (FAS) method offers a solution approach for deriving functional system architectures from system use cases originating from human actors. For CPS development, this publication presents an expansion of the FAS method for developing functional architectures based on use cases originating from human actors as well as from cooperating CPSs and offers a model‐based approach based on the method description. In the authors' opinion, interconnectable CPSs and models of cooperating CPSs can be integrated and interconnected with each other into a unifying aggregated model to represent the joint behavior of CPSs in an aggregated system. The paper explains this novel approach through a CPS functional architecture development example related to the prediction of remaining boarding time in an aircraft. The result is an approach that allows the consideration of initial CPS functions and new aggregated system functions, that pays special attention to the interconnectivity of CPSs and the required interfaces, and enables the systematic analysis of functions for the identification of redundancies. [ABSTRACT FROM AUTHOR]

Conceptual design is a pivotal phase of product design and development, encompassing user requirement exploration and informed solution generation. Recent generative models with their powerful content generation capabilities have been applied to conceptual design to support designers' ideation. However, the lack of transparency in their generation process and the shallow nature of their generated solutions constrain their performance in complex conceptual design tasks. In this study, we first introduce a conceptual design generation approach that combines generative models with classic design theory. This approach decomposes the conceptual design task based on design process and design attributes, and uses the who, what, where, when, why, how (5W1H) method, function-behavior-structure model, and Kansei Engineering to guide generative models to generate conceptual design solutions through multi-step reasoning. Then we present an interactive system using a mind-map layout to visualize multi-step reasoning, called DesignFusion. This empowers designers to track the generation process and control inputs/outputs at each reasoning step. Two user studies show that our approach significantly enhances the quality of generated design solutions and enriches designer experience in human-artificial intelligence co-creation. [ABSTRACT FROM AUTHOR]

In situ forming implants (ISFIs) composed of biodegradable polymers and biocompatible solvents are generally designed for sustained drug release. In this study, a non-invasive computed tomography (CT) imaging approach is used to achieve real time imaging of ISFIs in vivo and in vitro using leuprolide acetate in situ forming implant as a model drug product. The process of implant formation, inner structure change and their impact on drug release were elucidated. Real-time drug distribution was unveiled by the CT contrast agent, iohexol, where it shows a core-shell structure of the deposition. The incorporation of leuprolide acetate (LA) led to a reduced extent of burst release, prolongated release profile, and extended implant size expansion. LA was found to interact with the solvent and slowed down the polymer phase inversion, thus significantly changed the drug distribution in the implant and reduced the drug release. The implant inner structure identified through SEM, implant size change, and polymer degradation along with the CT real time imaging all consistently support the implant formation differences and their implant on the drug release. Similar patterns of implant size expansion and iohexol distribution in the implants were observed both in vitro and in vivo for the implants with and without LA. The comprehensive understanding of the impact of implant formation on drug release through real time CT imaging facilitates the ISFI product development and evaluation. [Display omitted] [ABSTRACT FROM AUTHOR]

Summary: The aim of this study was to determine the textural sensory profile of wheat breads developed using oat flour at different substitution levels (10%, 30%, and 50%) and particle sizes (<224, 250–280, 280–500, 500–600 μm). A trained descriptive panel evaluated the wheat–oat breads using quantitative descriptive analysis (QDA) (n = 8) and partial napping (PN) (n = 12) sensory techniques. The QDA results showed that the textural properties of the breads were significantly affected by oat flour at different substitution and particle size levels (P < 0.001). The attributes crumb 'denseness' and 'stickiness' discriminated most frequently across samples, while crumb 'chewiness' and 'dryness' discriminated the least. Principal component analysis (PCA) illustrated that in PC1 (59%) crumb 'denseness' was positively correlated with crumb 'hardness' and 'graininess', while 'stickiness' was negatively correlated with crumb 'graininess'. The application of clustering techniques on QDA data showed that breads with 10% oat flour were differentiated based on particle size; however, as the substitution level of oat flour increased, the substitution level of oat flour used in formulations exceeded the effect of particle size. In terms of PN, panellists identified four distinct groups of wheat–oat breads, indicating that wheat breads with 10% oat flour and <224 μm, 280–500 μm and whole oat flour had similar textural properties to the control wheat bread sample. The texture of wheat breads substituted with 50% oat flour were very different to the control. The results of this study suggest that in addition to the effect of substitution level, fractionation of oat flour may have application in the production of wheat bread formulations with different textural profiles. The findings also emphasise the importance of considering clustering techniques when evaluating complex samples for new product development applications. [ABSTRACT FROM AUTHOR]

The Arecaceae and Myrtaceae families are widespread across Brazil. They include many of Brazil's native fruit species. Local communities use these plants for many purposes. Their health impacts come from bioactive compounds, notably phytochemicals. These compounds are crucial for managing chronic diseases and can serve as antimicrobial agents. Therefore, this review aimed to present and discuss the importance of commercialization, consumption, and development of new products from some plant matrices native to Brazil, such as purple-araçá, bacaba, cherry of Rio Grande, grumixama, juçara, and pitanga with emphasis on the phenolic profile and functional potential as agents in biological activities. The information presented herein serves as a foundation for enhancing practices ranging from cultivation and consumption to the formulation of innovative ingredients and food products. This emphasis is particularly relevant for underexplored fruits, such as purple-araçá and bacaba, which possess untapped potential for further investigation and application. [ABSTRACT FROM AUTHOR]

Patina formed on ancient glass holds potential to be a useful tool in determining the age of patina and to interpreting its formative environment climatically, pedogenically, hydrochemically and biologically. To date, its usefulness in this regard appears to have been underestimated. However, if patina is to be used as a reliable indicator of age and the environmental conditions underpinning its formation, there needs to be a systematic examination and understanding of its development under controlled laboratory conditions using various types of glass and with various climate types and soil types. As such, to calibrate and interpret the age of patina, processes of its development and products of its formation, we believe that it is useful to produce patina under varying experimental conditions in the laboratory. This paper focuses on the successful experimental development of patina on glass under controlled laboratory conditions and paves the way for further exploration of the rich resource of information that can result from such experimentation. We cannot produce in detail the full range of long‐term products of patination. [ABSTRACT FROM AUTHOR]

The baru (Dipteryx alata Vog.) fruit stands out among the fruits native to the Cerrado for its high agri-food potential, and it consists of a thin peel covering the pulp and a woody endocarp coating the nut. During the extraction process of baru nut or its oil, the peel, pulp, and partially defatted nut are usually discarded or used as animal feed. However, these by-products are rich in proteins, dietary fibers, and bioactive compounds. Food preparations like brownies are attractive and popular despite having a high energy density and a low phytochemical content. Thus, this study developed nutritious brownie formulations using baru food ingredients [BFI: a mixture of partially defatted nut flour (DBF) with baru peel and pulp flour (BPF)]. Three formulations were tested: SBF - standard brownie made with wheat flour; BBF1 - brownie made by replacing wheat flour with BFI1 (50% DBF + 50% BPF); and BBF2 - brownie made by replacing wheat flour with BFI2 (75% DBF + 25% BPF). The chemical composition and functional properties of the brownies were evaluated. The addition of baru by-products in the formulations resulted in products with higher contents of protein, dietary fiber, phenolic compounds, and greater antioxidant capacity than the standard brownie. Therefore, the use of baru food ingredients in food formulations is indicated to design new food products with improved nutritional quality and nutraceutical properties. [ABSTRACT FROM AUTHOR]

Background: Digital therapeutics (DTx) have attracted attention as the substitutes or add-ons to conventional pharmacotherapy and the number of DTx products authorized with the regulatory reviews of the clinical evidence is increasing. Insomnia is one of the major targets of the DTx due to the benefit from cognitive behavioral interventions and several products have been launched in the market with regulatory reviews. However, common features of the products and the clinical evidence required by each regulatory agency have not been investigated. Methods: In this study, we identified the DTx products with the primary indication of insomnia authorized with regulatory reviews of clinical evidence by literature and website searches, and investigated the common features of the products and of the study designs for the pivotal clinical trials. Results: The total of 6 DTx products were identified. The components of cognitive behavioral therapy for insomnia (CBT-I) were identified as common features of the products. All the pivotal clinical trials were randomized, parallel-group, blind studies against insomnia patients. No products have been authorized in multiple countries regardless of the similarity of the features of the products and of the study designs for the pivotal clinical trials. Conclusions: Our study revealed that the components of CBT-I and gold standard design in pivotal clinical trials were adopted in all the DTx products for insomnia authorized with reviews of clinical evidence. At the same time, our findings suggest the needs of internationally harmonized regulatory review and authorization system to facilitate the early patient access to the promising DTx products. [ABSTRACT FROM AUTHOR]

The aim of this study is to explore and assess the significance of social media in terms of their impact on market performance indicators, including product development, market development, and consumer loyalty. This study utilized a sample of 279 companies operating in the HoReCa sector (Hotel, Restaurant, and Cafeteria) in Kosovo. To assess the impact of social networks on the gastronomy sector, a structural equation model was employed to analyse the collected data. Based on our research, the results indicate a positive relationship between social media and performance indicators. However, it is worth noting that the correlation between social media and performance indicators was not particularly strong. This study adds to the existing body of literature on digital marketing strategies from an academic standpoint, highlighting the positive outcomes derived from the influence of social media through performance indicators. From a practical standpoint, the findings of this research suggest that the gastronomy sector can benefit from investing in a comprehensive digital marketing strategy based on the insights gained. Given that many businesses within this sector have a clear requirement for digital marketing and the appropriate platform design, effective management of the HoReCa sector can enable the development of an effective social media strategy that amplifies the impact of performance indicators. Consequently, the paper begins with a theoretical explanation of the terms of digital marketing of social media, analysing the theoretical aspect of performance indicators such as product development, market development and customer loyalty. Then the paper continues with the hypotheses of the paper and presentation of the conceptual model. By giving the paper the practical part of the work, the distribution of the questionnaires and finally the analysis of the results. For clarification, in the paper we have relied on various literatures that have dealt with such variables and we have dealt with our case in Kosovo of these variables that we have called. This research study makes unique contributions to the existing literature on social media and performance indicators specifically within the gastronomy sector. The novelty of this study lies in its efforts to enhance the comprehension of social media's impact through performance indicators, ultimately leading to improved performance in gastronomy services. [ABSTRACT FROM AUTHOR]

Oleogel technology has grown into a substantial research area over the past decade and development through a body of scientific patents and publications. Despite many exciting improvements in structural mechanisms and system development, promoting this technology from a laboratory study into an industrial production is not an easy task. Successful commercialization is predicated on the oleogel being able to adequately replace the various roles played by conventional plastic fats in complex food systems. To this end, certain inevitable limitations, such as poor plasticity, low structural stability, and intricate production procedures, need to be addressed first. This review gives the freedom‐spaces available for product developments and provides a deeper understanding for researchers in the oleogel technology combining both sides of patents and literatures. An insight analysis regarding research trends, hot topics, influences, and technology life cycle of current inventions has been conducted. Current structural strategies, formulations, and implementation scales are also discussed. Finally, future perspectives on the technology are highlighted. [ABSTRACT FROM AUTHOR]

The article reflects on the tenure of Jelena Spanjol and Charles Noble as co-Editors-in-Chief of the Journal of Product Innovation Management (JPIM) from 2019 to 2024. It highlights the growth and changes experienced by JPIM during this period, including the introduction of innovative initiatives like the Catalyst format and reviewer development programs. The article also discusses the journal's increased impact factor and rankings, emphasizing its importance in the field of innovation management research. The outgoing editors express gratitude to the JPIM community and pass the baton to the incoming Editor-in-Chief team. [Extracted from the article]

In industrial product development with customers, it is well‐known that lead userness is associated with novel and commercially attractive products. We take a next step by analyzing if lead userness is related to product development that potentially affects industry‐level practices. Our main hypothesis is that lead userness results in the pursuit of Schumpeterian product opportunities: disequilibrating, radical, rare, and based on new knowledge and creative activities. In contrast, at low lead userness, more Kirznerian product opportunities are expected—which maintain industry standards. The hypothesis is supported by data from 139 high‐tech small firms. Next, we anticipate that factors related to the selection of lead users, and the effective processing of their inputs, moderate the connection between lead userness and Schumpeterian opportunity. As for selection, we find a stronger connection when firms collaborate with "new" customers. Conversely, when involved customers have been business partners already for a long time, the pursuit of Schumpeterian opportunities is mitigated. Also, tentative evidence is found that the connection between lead userness and Schumpeterian opportunity amplifies when involved customers are less dominant market players. Finally, when it comes to processing lead users' input, we report tentative evidence that firms' R&D intensity should be higher (indicating ability to process lead users' inputs and make continued development efforts). Our findings help to explain why lead users have been associated with industry dynamics, and provide guidance to identify "relevant" lead users when firms seek product opportunities that potentially disequilibrate their industry. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to 1) examine the influence of firm-level entrepreneurial attitude toward innovation, subjective norms for innovation, and perceived control over innovation on firms' intention for innovation; 2) study the influence of firms' intention for innovation on new product development performance; 3) test the effect of new product development performance on firms' financial performance. Design/methodology/approach: The proposed theoretical model has been analyzed through structural equation modelling using SmartPLS software and structured questionnaires has been distributed among 244 entrepreneurs in Oman. Findings: By empirically testing the antecedents of the firm-level entrepreneurs' intention with a focus on existing firms (not their intention for new venture creation), it was found that attitudes toward innovation and perceived behavioral control do predict firm-level entrepreneurs' intention for innovation. The firm-level entrepreneurs' intention for innovation was also found to positively affect new product development performance. And new product performance was found to enhance financial performance of firms. Practical implications: The findings of this study interject a better understanding of the new product development performance and financial performance which can be achieved by the firm-level entrepreneurial intention for innovation. Entrepreneurs can effectively convey the relative benefit of SME's innovation by emphasizing how the innovation in the firm can help to increase revenue, profitability, boost sales growth, and strengthen the financial health of the SMEs by developing new products for the market. Originality/value: This research contributes to the understanding the relationship between the entrepreneurs' behavioural characteristics and the firm level entrepreneurial' intention and how it affects new product development performance and financial performance. [ABSTRACT FROM AUTHOR]

Despite the acknowledged importance of organisational learning for new product development, there is a dearth of research into the relative use of distinct learning types as the innovation process unfolds. Our paper more fully engages with this issue, contrasting innovations of high versus low technological novelty. A qualitative study of innovation projects in the biopharmaceutical and medical device industries reveals that learning patterns vary in significant ways throughout the innovation process based on the underlying technological novelty of the offering. High novelty projects begin with an emphasis on vicarious learning from distant referents and shift to more internal experiential learning over time. Meanwhile, low novelty projects begin with experiential learning, pursue vicarious learning from proximate (industry peer) referents, and finish by returning to internal experience. We theorise a more general sequence of learning types throughout the innovation process based on our findings. [ABSTRACT FROM AUTHOR]